What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
His main research concerns Artificial intelligence, Computer vision, Visual servoing, Robustness and Video tracking.
In general Artificial intelligence study, his work on Deep learning, Robot and Control often relates to the realm of Field and Flow, thereby connecting several areas of interest.
His Computer vision study frequently draws connections to adjacent fields such as Global Positioning System.
The Visual servoing study combines topics in areas such as Assisted GPS and Feature detection.
His Robustness study also includes fields such as
- Image plane which intersects with area such as Visual control, Feature tracking and Image sensor,
- Vision based, which have a strong connection to Six degrees of freedom, Testbed, Kalman filter, Machine vision and Simulation.
His Video tracking study combines topics in areas such as Control system and Feature extraction.
His most cited work include:
- Visual servoing of an autonomous helicopter in urban areas using feature tracking (126 citations)
- A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles (124 citations)
- Visual 3-D SLAM from UAVs (115 citations)
What are the main themes of his work throughout his whole career to date?
Pascual Campoy mostly deals with Artificial intelligence, Computer vision, Robot, Control engineering and Visual servoing.
His Artificial intelligence research focuses on Global Positioning System and how it relates to Inertial measurement unit.
His work on Mobile robot as part of general Robot research is frequently linked to Drone and Context, thereby connecting diverse disciplines of science.
His Control engineering research is multidisciplinary, incorporating perspectives in Control and Fuzzy logic.
His Visual servoing study integrates concerns from other disciplines, such as Image plane, Object, Task and Visual control.
His research investigates the connection between Robotics and topics such as Systems engineering that intersect with issues in Component.
He most often published in these fields:
- Artificial intelligence (61.99%)
- Computer vision (43.86%)
- Robot (21.05%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (61.99%)
- Robot (21.05%)
- Real-time computing (12.28%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Robot, Real-time computing, Computer vision and Robotics.
His work in the fields of Artificial intelligence, such as Deep learning, Object detection and Feature, intersects with other areas such as Context and Drone.
The concepts of his Robot study are interwoven with issues in Control engineering, Systems engineering, Multirotor and Reinforcement learning.
His biological study spans a wide range of topics, including Cluster analysis, Simulation, Collision avoidance and Search and rescue.
His work in the fields of RGB color model, Object and Image processing overlaps with other areas such as Obstacle.
His Robotics research incorporates elements of Testbed and Altitude.
Between 2015 and 2021, his most popular works were:
- A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles (124 citations)
- Natural user interfaces for human-drone multi-modal interaction (67 citations)
- A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques (53 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Machine learning
His main research concerns Artificial intelligence, Robot, Deep learning, Control engineering and Reinforcement learning.
His studies deal with areas such as Systems engineering and Computer vision as well as Artificial intelligence.
The study incorporates disciplines such as Collision avoidance and Motion planning in addition to Computer vision.
His research investigates the connection between Robot and topics such as Inertial measurement unit that intersect with problems in Visual marker, State and RGB color model.
His studies in Control engineering integrate themes in fields like Remotely operated underwater vehicle and Mobile robot.
His research in Reinforcement learning intersects with topics in Real-time computing, Visual servoing, Multirotor and Motion control.
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